Triglyceride-glucose-related parameters cutoff points for predicting the prevalence of metabolic syndrome in elderly Caucasian patients with obesity.

Aims: this study aimed to identify the threshold values of TyG index-related parameters for diagnosing metabolic syndrome (MetS) in elderly Caucasian individuals with obesity, and to evaluate the predictive performance of the TyG index in comparison to HOMA-IR. Methods: a cross-sectional study was conducted including 465 elderly individuals with obesity. The triglyceride-glucose (TyG) index was computed using the formula: Ln [fasting triglycerides (mg/dL) × fasting glucose (mg/dL)] / 2. Based on this index, additional TyG-derived parameters were calculated: TyG-BMI, defined as TyG×body mass index (BMI); TyG-WC, defined as TyG×waist circumference (WC); and TyG-WHtR, defined as TyG×waist-to-height ratio (WHtR). Results: the study population consisted of 465 elderly individuals, including 105 men (22.6 %) and 360 women (77.4 %), mean age of 73.4 ± 6.8 years. MetS was identified in 303 participants, representing 65.2 % of the cohort. The area under the curve (AUC) of TyG index based on the ATPIII criteria was 0.743 (95 % CI: 0.695-0.791; p = 0.001). The optimal cut-off point was 4.74. For HOMA-IR, the AUC was 0.681 (95 % CI: 0.621-0.741, p = 0.01, with a cutoff point of 2.49. AUCs of the TyG index-related parameters (TyGBMI: 0.715 (95 % CI: 0.661-0.762), TyGWC: 0.765 (95 % CI: 0.714-0.813), TyGWHtR: 0.757 (95 % CI: 0.707-0.807)) were similar to TyG and superior to HOMA-IR. Conclusions: TyG-related parameters serve as dependable indicators for detecting MetS in elderly individuals with obesity.